IOBRcausal Book

From expression and clinical data to readable results

Explore expression and clinical data, follow pathways to candidate genes, and turn the results into tables and figures you can read and share.

First time here?
Install the package and try a small example.

Use your own data
Choose a workflow and prepare the inputs.

Already have results?
Read or plot the saved evidence.

IOBRcausal analysis workflow

Start with expression and clinical data for pathway-first discovery. If your question already names a gene, signature or score, use the exposure-first workflow. You can work in R or use the IOBRcausal Skill.

New users can follow installation, the first analysis, and reading results. For a specific estimator, go straight to the method guide.

This Book documents version 32.2.3. Examples use synthetic data; the original figures remain available with their historical context. See validation and support before reporting an analysis.